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DeepSeek-V4-Flash Update

api-docs.deepseek.com

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Re: DeepSeek-V4-Flash Update

#201

Post by krapht »

lionkor wrote: post #194
yewenjie wrote: post #131

What was preventing them from calling it v4.1-Flash to distinguish it better?

Sounds like it'll replace v4-flash, v4.1 would be nice to keep both available. On the other hand, it's nice to just get an improvement on anything that asks for "deepseek-v4-flash" without having to change the model string.

I think that's backwards. Anything that changes the performance of a model deserves a minor version bump. A new model has to be qualified before being pushed to production; but we don't get the choice here, just cross your fingers there are no regressions at all on all possible tasks the model might be asked to do.

Re: DeepSeek-V4-Flash Update

#202

Post by freakynit »

HyperL0gi wrote: post #177

Is anyone using DSv4 for their agents that is not related to writing code? Curious about use cases specially for someone using gpt-5.4 mini for classification, categorization, etc

I use it to conduct thorough online researches. Plug-in some online search MCP (like the one I use: https://jerrysniffs.online ), and the flash models dig through the internet for dirt cheap..

Most of the times, the total cost, including search API's, is less than $0.05 for full deeply researched output, and the research is actually good.

Re: DeepSeek-V4-Flash Update

#203

Post by Philpax »

XCSme wrote: post #182

Can't really use it now, without giving away your data: > Trains: this provider may use prompts for training and may retain prompt data.

That will cease to be a problem in the next 24 hours, now that the weights are out: https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731

Re: DeepSeek-V4-Flash Update

#205

Post by alecsm »

I've been using DeepSeek Pro for a while and Flash only for certain dumb tasks where I only need the speed of a LLM and not big brains.

I find the newest OpenAI and Anthropic models to be way better for big tasks that require many decisions but I don't like that anyway because I lose track of what's being done.

Knowing what I want for every prompt makes DeepSeek Pro the best LLM for me. It allows me to work relatively fast at a very low price.

Re: DeepSeek-V4-Flash Update

#207

Post by lionkor »

krapht wrote: post #201
lionkor wrote: post #194

Earlier quoted context omitted.

Sounds like it'll replace v4-flash, v4.1 would be nice to keep both available. On the other hand, it's nice to just get an improvement on anything that asks for "deepseek-v4-flash" without having to change the model string.

I think that's backwards. Anything that changes the performance of a model deserves a minor version bump. A new model has to be qualified before being pushed to production; but we don't get the choice here, just cross your fingers there are no regressions at all on all possible tasks the model might be asked to do.

I should have worded it differently. Having a model selector as `string` seems like the wrong choice. At the very least, I should be able to select 4.X, like how we select dependencies, so people who rely on specific behavior can pin to 4.0 and I can say version >= 4 if I don't care.

Re: DeepSeek-V4-Flash Update

#208

Post by ReptileMan »

applicative wrote: post #184
dannyw wrote: post #91

Deepseek and moonshot are the only two providers I consent to training for.

Xi going to shut down open-weighting of them in a matter of months. No one seriously doubts this. They will be too powerful and they will be gone.

It is true. And only Chinese Han people can continue work on what is already released. But they will be forbidden. /s

Sarcasm aside - if the community can't get their shit together to continue improving what is currently public, well - we don't deserve free stuff and open weights.

Re: DeepSeek-V4-Flash Update

#210

Post by dakolli »

lionkor wrote: post #191
dakolli wrote: post #178

Earlier quoted context omitted.

[flagged]

I agree a bio is a bad proxy, and I'm not saying I'm amazing but I'm not THAT incompetent. Most of my GitHub is pre-LLM era; github.com/lionkor Edit: And like a lot of tools, HOW you use them is just about as important as the quality of the tool itself. Of course the tools can produce massive amounts of bad quality slop, they can also produce fast, focused edits that make sense.

I'm not even trying to call you out, I'm sure you're solid.
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